A resource for the single-cell research community-
Single-cell omics recently emerged as powerful tools to investigate heterogeneity of large populations of cells. Among others, improvements in sequencing, microscopy and microfluidic technologies let to a rapid increase of complex datasets with single-cell resolution. However, due to a lack of available platforms to easily share and integrate complex single-cell datasets, the accessibility of such datasets can be a barrier to efficient usage.
To address the issue of efficient single-cell data management, we introduced a single-cell data integration platform. The motivation for the development of this database was to enable easy access, integration and collaboration on single-cell datasets generated by the research community worldwide. This database features integration of single-cell metadata, cell images and sequence information. Currently the platform is divided into two parts; the first part is the single-cell dataset generated at the Division of Genomic Technologies at RIKEN CLST and the second part is the single-cell dataset published in peer-reviewed journals.
Use theQuick Search Tableto browse our curated datasets.
More from RIKEN Laboratory for Large-Scale Biomedical Data Technology
SkewC a novel quality-assessment method to identify poor quality single-cells in scRNA-seq experiments. The method relies on the measure of skewness of the gene coverage of each single cell as a quality measure.GitHub